Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics

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Springer


Paru le : 2024-02-19



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Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fourth volume of five from the Conference, brings together contributions to this important area of research and engineering.  The collection presents early findings and case studies on a wide range of topics and includes papers in the following general technical research areas:
AM Composites and Polymers
Dynamic Behavior of Additively Manufactured Materials and Structures
Joint Residual Stress and Additive Manufacturing
ML for Material Model Identification
Novel AM Structures
Novel Processing and Testing of Additively Manufactured Materials
Plasticity and Complex Material Behavior
Virtual Fields Method
Pages
102 pages
Collection
n.c
Parution
2024-02-19
Marque
Springer
EAN papier
9783031504730
EAN PDF
9783031504747

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
7834 Ko
Prix
252,14 €
EAN EPUB
9783031504747

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
44708 Ko
Prix
252,14 €

Sharlotte L.B. Kramer–Sandia National Laboratories, NM, USA; Emily Retzlaff–United States Naval Academy, MD, USA; Piyush Thakre–Dow Inc., TX,USA; Johan Hoefnagels–Eindhoven University of Technology, Netherlands; Marco Rossi–Università Politecnica delle Marche, Italy; Attilio Lattanzi–California Institute of Technology, CA, USA; François Hemez–Lawrence Livermore National Laboratory, CA, USA; Mostafa Mirshekari–Carnegie Mellon University, PA, USA; Austin Downey–University of South Carolina, SC, USA

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